Creative Proteomics is highlighting its untargeted metabolomics service for pharmaceutical, biotechnology, academic, agricultural, nutrition and microbiome research teams. The service is designed to profile broad small-molecule features across biological systems and support discovery-stage studies where relevant metabolites may not be known in advance.
Unlike targeted metabolomics, which measures a predefined panel of compounds, untargeted metabolomics uses broad analytical acquisition to capture as many detectable molecular features as possible within a selected workflow. This discovery-oriented strategy can help researchers compare phenotypes or treatment conditions, identify metabolic shifts and generate hypotheses for subsequent validation.
Creative Proteomics provides broad small-molecule profiling for biological discovery using complementary liquid chromatography-mass spectrometry and gas chromatography-mass spectrometry approaches. HILIC and C18 separation modes can be combined to improve coverage across metabolites with different physicochemical properties. Positive- and negative-ion electrospray modes may also be used to expand the range of detectable features.
The service can accommodate a variety of research matrices, including plasma, serum, urine, tissues, feces, saliva, cells, exosomes, plants, microbial samples, fermentation media and soil. Sample preparation may include protein precipitation, liquid-liquid extraction or other matrix-specific procedures, with internal standards selected according to the sample type and analytical design.
Untargeted metabolomics workflows typically include peak detection, deconvolution, retention-time alignment, feature consolidation, blank subtraction, normalization and batch correction. Statistical outputs may include principal component analysis, clustering, volcano plots, heatmaps and other multivariate or univariate comparisons. These analyses can help teams identify features associated with experimental groups while keeping study design, biological replicates and multiple-testing considerations in view.
Feature annotation and compound identification require careful interpretation. Database matches, accurate mass and MS/MS information can support annotation and prioritization, but not every detected feature represents a definitively confirmed metabolite. Creative Proteomics describes the use of curated databases, in-silico matching, chemical-class prediction and molecular networking to prioritize unknown features for future structure validation or targeted quantification.
Applications may include early-stage biomarker screening, drug-response and toxicity research, mechanism exploration, host-microbiome studies, nutrition research, plant stress studies and microbial or fermentation investigations. High-priority features identified through an untargeted workflow may also be used to guide the development of targeted quantitative panels.
Creative Proteomics offers metabolomics research and data-analysis capabilities that can help connect sample processing, mass spectrometry acquisition, quality control, statistical analysis and pathway interpretation within a coordinated research workflow.
About Creative Proteomics:
Creative Proteomics provides analytical research services for pharmaceutical, biotechnology and academic customers. Its capabilities include metabolomics, proteomics, lipidomics, glycomics, bioinformatics, drug research and related scientific analysis.
Media Contact:
Contact Person: Melissa George
Email: contact@creative-proteomics.com
Phone: +1(631)593-0501
Website: metabolomics.creative-proteomics.com
Address: Shirley, NY, USA
For Research Use Only. Not for use in diagnostic procedures.